Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Security Science
RAS ID
10100
Abstract
The Iterated Prisoners Dilemma (IPD) is often used to model cooperation between self-interested agents. In an earlier study, we introduced a framework using IPD to study the effects of species-level competition on the evolution of cooperative behaviour. In this paper, we extend the previous work, using co-evolutionary simulations of interactions between species of IPD-playing agents to investigate how group strategies may evolve. We find that the ability to cooperate more with agents of the same species greatly increases the ferocity of competition between species.
DOI
10.1109/CEC.2010.5586197
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Hingston, P. F. (2010). Evolving Group Strategies for IPD. Proceedings of IEEE Congress on Evolutionary Computation. (pp. 2414-2420). . Barcelona International Convention Centre, Barcelona, Spain. IEEE. Available here
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